code: def score_test_data(self):
      data = [
          dict(
              X_train=self._get_X_train_2(),
              y_train=gs.array([-1, 1]),
              X_test=gs.array(
                  [[[EULER**3, 0], [0, 1]], [[EULER**2, 0], [0, 1]]]
              ),
              y_expected=gs.array([-1, -1]),
          )
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_learning/data/mdm.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
label_desc: Use image node_id 4 for calling the RiemannianMinimumDistanceToMeanSPDEuclideanTestData obj's underlying member method code with example usage: obj.score_test_data() and returns: self